The business model: Theoretical roots, recent developments, and future research

The paper provides a broad and multifaceted review of the received literature on business models, in which we attempt to explore the origin of the construct and to examine the business model concept through multiple disciplinary and subject-matter lenses. The review reveals that scholars do not agree on what a business model is, and that the literature is developing largely in silos, according to the phenomena of interest to the respective researchers. However, we also found some emerging common ground among students of business models. Specifically, i) the business model is emerging as a new unit of analysis; ii) business models emphasize a system-level, holistic approach towards explaining how firms do business; iii) organizational activities play an important role in the various conceptualizations of business models that have been proposed, and iv) business models seek not only to explain the ways in which value is captured but also how it is created. These emerging themes could serve as important catalysts towards a more unified study of business models.Business model; strategy; technology management; innovation; literature review;

Manipulation of Online Reviews: Analysis of Negative Reviews for Healthcare Providers

There is a growing reliance on online reviews in today’s digital world. As the influence of online reviews amplified in the competitive marketplace, so did the manipulation of reviews and evolution of fake reviews on these platforms. Like other consumer-oriented businesses, the healthcare industry has also succumbed to this phenomenon. However, health issues are much more personal, sensitive, complicated in nature requiring knowledge of medical terminologies and often coupled with myriad of interdependencies. In this study, we collated the literature on manipulation of online reviews, identified the gaps and proposed an approach, including validation of negative reviews of the 500 doctors from three different states: New York and Arizona in USA and New South Wales in Australia from the RateMDs website. The reviews of doctors was collected, which includes both numerical star ratings (1-low to 5-high) and textual feedback/comments. Compared to other existing research, this study will analyse the textual feedback which corresponds to the clinical quality of doctors (helpfulness and knowledge criteria) rather than process quality experiences. Our study will explore pathways to validate the negative reviews for platform provider and rank the doctors accordingly to minimise the risks in healthcare

Сборник текстов по обучению профессионально-ориентированному чтению на английском языке для студентов специальностей 1-28 01 01 – "Экономика электронного бизнеса" 1-28 01 02 – "Электронный маркетинг"

Rakhuba Valery Ivanovich. Основы электронного бизнеса и маркетинга. Learning Textbook professionally oriented reading in EnglishСборник текстов по обучению профессионально-ориентированному чтению на английском языке предназначается для студентов специальностей 1-28 01 01 Экономика электронного бизнеса и 1-28 01 02 Электронный маркетинг. Тематика текстов дает достаточно полное представление о практической реализации принципов деятельности в этих сферах экономической активности

Detection, Triage, and Attribution of PII Phishing Sites

Stolen personally identifiable information (PII) can be abused to perform a multitude of crimes in the victim’s name. For instance, credit card information can be used in drug business, Social Security Numbers and health ID’s can be used in insurance fraud, and passport data can be used for human trafficking or in terrorism. Even Information typically considered publicly available (e.g. name, birthday, phone number, etc.) can be used for unauthorized registration of services and generation of new accounts using the victim’s identity (unauthorized account creation). Accordingly, modern phishing campaigns have outlived the goal of account takeover and are trending towards more sophisticated goals. While criminal investigations in the real world evolved over centuries, digital forensics is only a few decades into the art. In digital forensics, threat analysts have pioneered the field of enhanced attribution - a study of threat intelligence that aims to find a link between attacks and attackers. Their findings provide valuable information for investigators, ultimately bolster takedown efforts and help determine the proper course of legal action. Despite an overwhelming offer of security solutions today suggesting great threat analysis capabilities, vendors only share attack signatures and additional intelligence remains locked into the vendor’s ecosystem. Victims often hesitate to disclose attacks, fearing reputation damage and the accidental revealing of intellectual property. This phenomenon limits the availability of postmortem analysis from real-world attacks and often forces third-party investigators, like government agencies, to mine their own data. In the absence of industry data, it can be promising to actively infiltrate fraudsters in an independent sting operation. Intuitively, undercover agents can be used to monitor online markets for illegal offerings and another common industry practice is to trap attackers in monitored sandboxes called honeypots. Using honeypots, investigators lure and deceive an attacker into believing an attack was successful while simultaneously studying the attacker’s behavior. Insights gathered from this process allow investigators to examine the latest attack vectors, methodology, and overall trends. For either approach, investigators crave additional information about the attacker, such that they can know what to look for. In the context of phishing attacks, it has been repeatedly proposed to "shoot tracers into the cloud", by stuffing phishing sites with fake information that can later be recognized in one way or another. However, to the best of our knowledge, no existing solution can keep up with modern phishing campaigns, because they focus on credential stuffing only, while modern campaigns steal more than just user credentials — they increasingly target PII instead.We observe that the use of HTML form input fields is a commonality among both credential stealing and identity stealing phishing sites and we propose to thoroughly evaluate this feature for the detection, triage and attribution of phishing attacks. This process includes extracting the phishing site’s target PII from its HTML tags, investigating how JavaScript code stylometry can be used to fingerprint a phishing site for its detection, and determining commonalities between the threat actor’s personal styles. Our evaluation shows that tag identifiers, and tags are the most important features for this machine learning classification task, lifting the accuracy from 68% without these features to up to 92% when including them. We show that tag identifiers and code stylometry can also be used to decide if a phishing site uses cloaking. Then we propose to build the first denial-of-phishing engine (DOPE) that handles all phishing; both Credential Stealing and PII theft. DOPE analyzes HTML tags to learn which information to provide, and we craft this information in a believable manner, meaning that it can be expected to pass credibility tests by the phisher

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Big Data and Artificial Intelligence in Digital Finance

This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance

Startup dilemmas - Strategic problems of early-stage platforms on the internet

siirretty Doriast